Context:

Our healthcare client was facing a growing concern to analyze thousands of adverse drug reaction reports. Manual review was slow and made it difficult to detect emerging safety signals.

Resolution:

We provided a data science team with healthcare domain expertise who worked closely with clinicians. R was used to automate data cleaning, classify ADR types, and perform frequency analysis. The tidy verse, text mining, and shiny packages enabled interactive dashboards for real time monitoring.

Result:

Signal detection became 40 percent faster, rare ADR patterns were identified earlier, and regulatory reporting improved significantly, enhancing patient safety.